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Simple tutorials using Keras Framework
| Date | Stars |
|---|---|
| 2026-07-24 | 266 |
| 2026-07-25 | 266 |
| 2026-07-28 | 266 |
| 2026-07-30 | 266 |
| 2026-08-06 | 266 |
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# Keras-Tutorials Introduction to deep learning based on Keras framework. These tutorials are direct ports of nlintz's [TensorFlow Tutorials](https://github.com/nlintz/TensorFlow-Tutorials). *Basic Topics (from nlint'z github)* * Linear Regression ([code](https://github.com/tgjeon/Keras-Tutorials/blob/master/01_linear_regression.py), [notebook](https://github.com/tgjeon/Keras-Tutorials/blob/master/01_linear_regression.ipynb)) * Logistic Regression ([code](https://github.com/tgjeon/Keras-Tutorials/blob/master/02_logistic_regression.py), [notebook](https://github.com/tgjeon/Keras-Tutorials/blob/master/02_logistic_regression.ipynb)) * Feedforward Neural Network (Multilayer Perceptron) ([code](https://github.com/tgjeon/Keras-Tutorials/blob/master/03_net.py), [notebook](https://github.com/tgjeon/Keras-Tutorials/blob/master/03_net.ipynb)) * Deep Feedforward Neural Network (Multilayer Perceptron with 2 Hidden Layers O.o) ([code](https://github.com/tgjeon/Keras-Tutorials/blob/master/04_modern_net.py), [notebook](https://github.com/tgjeon/Keras-Tutorials/blob/master/04_modern_net.ipynb)) * Convolutional Neural Network ([code](https://github.com/tgjeon/Keras-Tutorials/blob/master/05_convolutional_net.py), [notebook](https://github.com/tgjeon/Keras-Tutorials/blob/master/05_convolutional_net.ipynb)) * Denoising Autoencoder ([code](https://github.com/tgjeon/Keras-Tutorials/blob/master/06_autoencoder.py), [notebook](https://github.com/tgjeon/Keras-Tutorials/blob/master/06_autoencoder.ipynb)) * Recurrent Neural Network (LSTM) ([code](https://github.com/tgjeon/Keras-Tutorials/blob/master/07_lstm.py), [notebook](https://github.com/tgjeon/Keras-Tutorials/blob/master/07_lstm.ipynb)) * Word2vec * TensorBoard ([code](https://github.com/tgjeon/Keras-Tutorials/blob/master/09_tensorboard.py), [notebook](https://github.com/tgjeon/Keras-Tutorials/blob/master/09_tensorboard.ipynb)) * Save and restore net ([code](https://github.com/tgjeon/Keras-Tutorials/blob/master/10_save_restore_net.py), [notebook](https://github.com/tgjeon/Keras-Tutorials/blob/master/10_save_restore_net.ipynb)) *Advanced Topics* * Image classification * Object detection * Super-Resolution * Image captioning * Semantic segmentation *Note* * [Deep Learning Glossary](https://github.com/tgjeon/Keras-Tutorials/blob/master/DeepLearningGlossary.md) (for Korean) : This documentation is translated from blog post on wildml.com (with author's permission) *Dependencies* * [Keras v1.2.1](https://github.com/fchollet/keras) * [TensorFlow v0.12](https://github.com/tensorflow/tensorflow)
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